Measuring of diaphragm movements by using iMEMS acceleration sensor

Sümbül, Harun; Yüzer, Ahmet Hayrettin

doi:10.1109/eleco.2015.7394532

Cited by 8 publications

(2 citation statements)

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“…Each 10-bit data received consists of x, y and z data packets. Thus, the amount of data transferred is 20×3×10=600 bits/sec and is suitable for wireless transmission [14]. As seen in Fig.…”

Section: Methodsmentioning

confidence: 99%

A Novel Engine Vibration Measurement System based on the MEMS Sensor

Böğrek

Sümbül

2022

International Journal of Automotive Science and Technology

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Internal combustion engines cause the engine to vibrate with a certain acceleration due to the oscillation of many components and combustion events during operation. The resulting vibrations can give information about the regular operation of the engine or a possible me-chanical failure. For this reason, it is very important to measure and interpret these vibrations in a healthy way. In this study, a microcontroller-based measurement system was designed and implemented to examine the vibrations of a 4-stroke, 3-cylinder and water-cooled diesel engine at different speeds, under loaded and unloaded conditions. Vibration results for three different measure-ment points at different engine speeds (900,1200,1600,2000,2400,2800 and 3200rpm) were recorded in the data recording system for 60s. The recorded data were filtered by the EMA method and the results were analyzed by the FFT method. According to the results obtained, it has been determined that there is a close linear rela-tionship between engine speed and vibrations. Results of measurement point 1 (Cylinder head) Higher vibration harmonics were measured compared to measurement points 2 (engine block) and 3 (Flywheel housing). The highest vibrations occurred at 3200rpm under loaded and unloaded operating conditions. As a result; It has been seen that the measurement sys-tem developed using MEMs-based accelerometers can be successfully applied to measure engine vibrations.

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Section: Methodsmentioning

confidence: 99%

A Novel Engine Vibration Measurement System based on the MEMS Sensor

Böğrek

Sümbül

2022

International Journal of Automotive Science and Technology

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“…COPD disease is closely related to lung volumes and capacities [2,3]. Vital capacity (VC) is one of the most important lung parameters [4]. VC is the maximum volume of air taken into and out of the lungs during breathing [5].…”

Section: Introductionmentioning

confidence: 99%

Deep Network Model and Regression Analysis Using OLS Method for Predicting Lung Vital Capacity

Sümbül¹

2023

Business, Management and Economics

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With the advancement of technology, many new devices and methods with machine learning and artificial intelligence (ML-AI) have been developed and these methods have begun to play an important role in human life. ML-AI technology is now widely used in many applications such as security, military, communications, bioengineering, medical treatment, food industry, and robotics. In this chapter, deep learning methods and medical usage techniques that have become popular in recent years will be discussed. Experimental and simulation results and a comprehensive example of the biomedical use of the deep network model will be presented. In addition, the regression analysis using the ordinary least squares (OLS) method for estimating lung vital capacity (VC) will be discussed. The simulation results showed that the VC parameter was predicted with higher than 90% accuracy using the proposed deep network model with real data.

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